Joint Detection and Location of English Puns

Yanyan Zou, Wei Lu


Abstract
A pun is a form of wordplay for an intended humorous or rhetorical effect, where a word suggests two or more meanings by exploiting polysemy (homographic pun) or phonological similarity to another word (heterographic pun). This paper presents an approach that addresses pun detection and pun location jointly from a sequence labeling perspective. We employ a new tagging scheme such that the model is capable of performing such a joint task, where useful structural information can be properly captured. We show that our proposed model is effective in handling both homographic and heterographic puns. Empirical results on the benchmark datasets demonstrate that our approach can achieve new state-of-the-art results.
Anthology ID:
N19-1217
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Jill Burstein, Christy Doran, Thamar Solorio
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2117–2123
Language:
URL:
https://aclanthology.org/N19-1217
DOI:
10.18653/v1/N19-1217
Bibkey:
Cite (ACL):
Yanyan Zou and Wei Lu. 2019. Joint Detection and Location of English Puns. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 2117–2123, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Joint Detection and Location of English Puns (Zou & Lu, NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-1217.pdf
Video:
 https://aclanthology.org/N19-1217.mp4
Code
 zoezou2015/PunLocation